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上級
On
4〜6年
6〜10年
10〜15年
15年以上
Past
Senior Software Engineer @Wistron Neweb Corporation2016 ~ 現在
・
Signal processing engineer
6ヶ月以内
Modick Basnet Taiwan [email protected] https://www.linkedin.com/in/modickbasnet As a seasoned DSP engineer with over 7 years of experience, I have honed my skills to not only troubleshoot existing problems but also to innovate new solutions whenever the need arises. From my early days as a student to my current role as an Engineer at WNC, I've consistently applied the foundational skills I acquired to analyze and solve complex challenges. My expertise extends beyond algorithm development and signal processing; I actively contribute to the design
無職
・
就職希望
フルタイム / リモートワークに興味あり
6〜10年
Emeritus
・
Machine Learning
Senior AI Research/Engineer (part-time) @NeuroBonic Inc.2022 ~ 2023
・
AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
1ヶ月以内
就職中
・
就職希望
フルタイム / リモートワークに興味あり
4〜6年
National Yang Ming Chiao Tung University
・
Computer Science就職中
フルタイム / リモートワークに興味あり
4〜6年
National Cheng Kung University
・
computer scienceSoftware Engineer @方見科技2023 ~ 現在
・
Firmware Engineer, Firmware Developer, Embedded Software Engineer
1ヶ月以内
就職中
・
就職希望
フルタイム / リモートワークに興味あり
4〜6年
中原大學
・
電機工程
產品工程師 測試工程師
6ヶ月以内
tester 4.Burn-in test＆Relibility (HTOL,ELFRreport automation by VBA & perl 6.non-volatile memory(非揮發性記憶體) 7.volatile memory(DDR2,DDRExperince 2007/JUL/JUL Army 10th Corps Command Headquarters Company Musician 2008/AUG/JNU SPIL Mix-signal unit Product Engineer (in shift ) Job function: 1.Maintain product & test program 2.To monitor the test quality & to verify the abnormal sample 3.Trouble shooting with production line 2009/SEP/OCT KYEC LCP(Logic CP test unit) Product Engineer Job function: 1.
就職を希望していません
フルタイム / リモートワークに興味あり
6〜10年
逢甲大學
・
電子工程學系最も簡単で効果的な採用プラン
80万枚以上の履歴書を検索して、率先して求人応募者と連絡をとって採用効率を高めましょう。何百もの企業に選ばれています。
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UI designer -UX
Definition of Reputation Credits
Technical Skills
Specialized knowledge and expertise within the profession (e.g. familiar with SEO and use of related tools).
Problem-Solving
Ability to identify, analyze, and prepare solutions to problems.
Adaptability
Ability to navigate unexpected situations; and keep up with shifting priorities, projects, clients, and technology.
Communication
Ability to convey information effectively and is willing to give and receive feedback.
Time Management
Ability to prioritize tasks based on importance; and have them completed within the assigned timeline.
Teamwork
Ability to work cooperatively, communicate effectively, and anticipate each other's demands, resulting in coordinated collective action.
Leadership
Ability to coach, guide, and inspire a team to achieve a shared goal or outcome effectively.
Professional Background
現在の状況
就学中
求人検索の進捗
就職を希望していません
Professions
Data Scientist
Fields of Employment
職務経験
1年未満
Management
スキル
言語
Job search preferences
希望のポジション
工程師
求人タイプ
Intern
希望の勤務地
台灣台北
リモートワーク
Freelance
いいえ。
学歴
学校
台灣大學
専攻
工程科學及海洋工程
Dennis Lee
李吉昌 Chi-Chang Lee
r08922a27@csie.ntu.edu.tw
https://github.com/ChangLee0903
0972128853
Education
M.Sc. Artificial Intelligence Program in Department of Computer Science and Information Engineering, National Taiwan University
Jan. 2019 - present
B.Sc. Engineering Science and Ocean Engineering, National Taiwan University
Sep. 2015 - Jun. 2019
Work Experience
Visiting Scholar, Yamagishi Laboratory, National Institute of Informatics, Japan
November. 2022 - present, advised by Junichi Yamagishi
Research Assistant, Biomedical Acoustic Signal Processing Lab, Academia Sinica CITI
Mar. 2019 - present, advised by Yu Tsao
Research Assistant, GICE Digital Image and Signal Processing Lab, NTU
Aug. 2018 - Aug. 2019, advised by Jian-Jiun Ding
Teaching Assistant, EE5184: Machine Learning
Sep. 2021 - Jan. 2022, instructed by Pei-Yuan Wu
Teaching Assistant, CommE5030: Time Frequency Analysis and Wavelet Transforms
Sep. 2018 - Jan. 2019, instructed by Jian-Jiun Ding
Undergraduate Project Experience
Cryptography and Network Security - Hash function Analysis with Neural Network
Computer Vision - Face Recognition in low resolution condition
Algorithms - 2019 IC/CAD Contest Problem E Second Place
Publication
D4AM: A General Denoising Framework for Downstream Acoustic Models
Chi-Chang Lee, Yu Tsao, Hsin-Min Wang, and Chu-Song Chen, Accepted on ICLR 2023
NASTAR: Noise Adaptive Speech Enhancement with Target-Conditional Resampling
Chi-Chang Lee, Cheng-Hung Hu, Yu-Chen Lin, Chu-Song Chen, Hsin-Min Wang, and Yu Tsao, Accepted on Interspeech 2022
SERIL: Noise Adaptive Speech Enhancement using Regularization-based Incremental Learning
Chi-Chang Lee, Yu-Chen Lin, Hsuan-Tien Lin, Hsin-Min Wang, and Yu Tsao, Accepted on Interspeech 2020
Cross-Technology Interference Mitigation Using Fully Convolutional Denoising Autoencoders
Chi-Lun Lin, Kate Ching-Ju Lin, Chi-Chang Lee, and Yu Tsao, Accepted on GLOBECOM 2020
Automatic Chinese Handwriting Verification Algorithm Using Deep Neural Networks
Chi-Chang Lee, Jian-Jiun Ding, Accepted on ISPACS 2019
Dennis Lee
李吉昌 Chi-Chang Lee
r08922a27@csie.ntu.edu.tw
https://github.com/ChangLee0903
0972128853
Education
M.Sc. Artificial Intelligence Program in Department of Computer Science and Information Engineering, National Taiwan University
Jan. 2019 - present
B.Sc. Engineering Science and Ocean Engineering, National Taiwan University
Sep. 2015 - Jun. 2019
Work Experience
Visiting Scholar, Yamagishi Laboratory, National Institute of Informatics, Japan
November. 2022 - present, advised by Junichi Yamagishi
Research Assistant, Biomedical Acoustic Signal Processing Lab, Academia Sinica CITI
Mar. 2019 - present, advised by Yu Tsao
Research Assistant, GICE Digital Image and Signal Processing Lab, NTU
Aug. 2018 - Aug. 2019, advised by Jian-Jiun Ding
Teaching Assistant, EE5184: Machine Learning
Sep. 2021 - Jan. 2022, instructed by Pei-Yuan Wu
Teaching Assistant, CommE5030: Time Frequency Analysis and Wavelet Transforms
Sep. 2018 - Jan. 2019, instructed by Jian-Jiun Ding
Undergraduate Project Experience
Cryptography and Network Security - Hash function Analysis with Neural Network
Computer Vision - Face Recognition in low resolution condition
Algorithms - 2019 IC/CAD Contest Problem E Second Place
Publication
D4AM: A General Denoising Framework for Downstream Acoustic Models
Chi-Chang Lee, Yu Tsao, Hsin-Min Wang, and Chu-Song Chen, Accepted on ICLR 2023
NASTAR: Noise Adaptive Speech Enhancement with Target-Conditional Resampling
Chi-Chang Lee, Cheng-Hung Hu, Yu-Chen Lin, Chu-Song Chen, Hsin-Min Wang, and Yu Tsao, Accepted on Interspeech 2022
SERIL: Noise Adaptive Speech Enhancement using Regularization-based Incremental Learning
Chi-Chang Lee, Yu-Chen Lin, Hsuan-Tien Lin, Hsin-Min Wang, and Yu Tsao, Accepted on Interspeech 2020
Cross-Technology Interference Mitigation Using Fully Convolutional Denoising Autoencoders
Chi-Lun Lin, Kate Ching-Ju Lin, Chi-Chang Lee, and Yu Tsao, Accepted on GLOBECOM 2020
Automatic Chinese Handwriting Verification Algorithm Using Deep Neural Networks
Chi-Chang Lee, Jian-Jiun Ding, Accepted on ISPACS 2019